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Abstract
In this paper an attempt is made to extend linear systematic sampling using multiple random starts due to Gautschi(1957)for various types of systematic sampling schemes available in literature, namely(i) Balanced Systematic Sampling (BSS) of Sethi (1965) and (ii) Modified Systematic Sampling (MSS) of Singh, Jindal, and Garg (1968). Further, the proposed methods were compared with Yates corrected estimator developed with reference to Gautschi’s Linear systematic sampling (LSS) with two random starts using appropriate super population models with the help of R package for statistical computing.
Keywords
Multiple random starts
Systematic sampling
Yates corrected estimator
Average variance
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Sundaram, S., & Sivaraman, A. (2010). SOME SYSTEMATIC SAMPLING STRATEGIES USING MULTIPLE RANDOM STARTS. Pakistan Journal of Statistics and Operation Research, 6(2), 149-162. https://doi.org/10.18187/pjsor.v6i2.141